AIMC Topic: Immunohistochemistry
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Domain Adaptation-Based Deep Learning for Automated Tumor Cell (TC) Scoring and Survival Analysis on PD-L1 Stained Tissue Images.
IEEE transactions on medical imaging
Aug 31, 2021
We report the ability of two deep learning-based decision systems to stratify non-small cell lung cancer (NSCLC) patients treated with checkpoint inhibitor therapy into two distinct survival groups. Both systems analyze functional and morphological p...
DeepHistoClass: A Novel Strategy for Confident Classification of Immunohistochemistry Images Using Deep Learning.
Molecular & cellular proteomics : MCP
Aug 21, 2021
A multitude of efforts worldwide aim to create a single-cell reference map of the human body, for fundamental understanding of human health, molecular medicine, and targeted treatment. Antibody-based proteomics using immunohistochemistry (IHC) has pr...
Can AI-assisted microscope facilitate breast HER2 interpretation? A multi-institutional ring study.
Virchows Archiv : an international journal of pathology
Jul 19, 2021
The level of human epidermal growth factor receptor-2 (HER2) protein and gene expression in breast cancer is an essential factor in judging the prognosis of breast cancer patients. Several investigations have shown high intraobserver and interobserve...
Immunohistochemistry
Receptor, ErbB-2
Carcinoma, Ductal, Breast
In Situ Hybridization, Fluorescence
Image Interpretation, Computer-Assisted
Observer Variation
Female
Reproducibility of Results
Breast Neoplasms
Predictive Value of Tests
Humans
Biomarkers, Tumor
Microscopy
Artificial Intelligence
China
Automation, Laboratory
Retrospective Studies
The human-in-the-loop: an evaluation of pathologists' interaction with artificial intelligence in clinical practice.
Histopathology
May 30, 2021
AIMS: One of the major drivers of the adoption of digital pathology in clinical practice is the possibility of introducing digital image analysis (DIA) to assist with diagnostic tasks. This offers potential increases in accuracy, reproducibility, and...
Research Design
Retrospective Studies
Reproducibility of Results
Breast Neoplasms
Humans
Artificial Intelligence
Pathologists
Data Accuracy
Observer Variation
Immunohistochemistry
Biomarkers, Tumor
Diagnosis, Computer-Assisted
Image Processing, Computer-Assisted
Calibration
Ki-67 Antigen
Pathology, Clinical
Artificial intelligence for advance requesting of immunohistochemistry in diagnostically uncertain prostate biopsies.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
May 20, 2021
The use of immunohistochemistry in the reporting of prostate biopsies is an important adjunct when the diagnosis is not definite on haematoxylin and eosin (H&E) morphology alone. The process is however inherently inefficient with delays while waiting...
Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning.
Laboratory investigation; a journal of technical methods and pathology
May 18, 2021
Delayed graft function (DGF) is a strong risk factor for development of interstitial fibrosis and tubular atrophy (IFTA) in kidney transplants. Quantitative assessment of inflammatory infiltrates in kidney biopsies of DGF patients can reveal predicti...
An open-source semi-automated robotics pipeline for embryo immunohistochemistry.
Scientific reports
May 13, 2021
A significant challenge for developmental systems biology is balancing throughput with controlled conditions that minimize experimental artifacts. Large-scale developmental screens such as unbiased mutagenesis surveys have been limited in their appli...
Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer.
Scientific reports
Mar 22, 2021
This study addresses the core issue facing a surgical team during breast cancer surgery: quantitative prediction of tumor likelihood including estimates of prediction error. We have previously reported that a molecular probe, Laser Raman spectroscopy...
Diagnosis prediction of tumours of unknown origin using ImmunoGenius, a machine learning-based expert system for immunohistochemistry profile interpretation.
Diagnostic pathology
Mar 11, 2021
BACKGROUND: Immunohistochemistry (IHC) remains the gold standard for the diagnosis of pathological diseases. This technique has been supporting pathologists in making precise decisions regarding differential diagnosis and subtyping, and in creating p...
Classification of colorectal tissue images from high throughput tissue microarrays by ensemble deep learning methods.
Scientific reports
Jan 27, 2021
Tissue microarray (TMA) core images are a treasure trove for artificial intelligence applications. However, a common problem of TMAs is multiple sectioning, which can change the content of the intended tissue core and requires re-labelling. Here, we ...
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